Information processing apparatus, information processing method, and program

Abstract

Provided is an information processing apparatus that includes a control unit that controls a user interface that allows a user to determine whether to adopt collected first sensor data as learning data for machine learning. The control unit presents, on the user interface, the first sensor data, second sensor data that is collected together with the first sensor data, and a label candidate that is estimated from the second sensor data, and receives input related to determination on whether to adopt the first sensor data from the user.

1 . An information processing apparatus comprising:
 a control unit that controls a user interface that allows a user to determine whether to adopt collected first sensor data as learning data for machine learning, wherein   the control unit presents, on the user interface, the first sensor data, second sensor data that is collected together with the first sensor data, and a label candidate that is estimated from the second sensor data, and receives input related to determination on whether to adopt the first sensor data from the user.   
     
     
         2 . The information processing apparatus according to  claim 1 , wherein the first sensor data and the second sensor data are chronological data that are collected from a same sensing target. 
     
     
         3 . The information processing apparatus according to  claim 2 , wherein the control unit presents, on the user interface, the first sensor data and the second sensor data in a chronologically associated manner. 
     
     
         4 . The information processing apparatus according to  claim 3 , wherein the second sensor data is sensor data with which the user is able to determine appropriateness of the estimated label candidate by viewing the second sensor data. 
     
     
         5 . The information processing apparatus according to  claim 4 , wherein the second sensor data is one of image data and sound data. 
     
     
         6 . The information processing apparatus according to  claim 4 , wherein the first sensor data and the second sensor data are different kinds of sensor data that are collected from different sensors. 
     
     
         7 . The information processing apparatus according to  claim 3 , wherein the control unit presents a position of the first sensor data chronologically corresponding to a replay position of the second sensor data. 
     
     
         8 . The information processing apparatus according to  claim 1 , wherein the control unit receives, on the user interface, input of a label corresponding to the first sensor data from the user. 
     
     
         9 . The information processing apparatus according to  claim 1 , wherein the control unit presents, on the user interface, a plurality of pieces of estimated label candidates, and adopts a label candidate selected by the user as a label used for the machine learning. 
     
     
         10 . The information processing apparatus according to  claim 9 , wherein the control unit presents, on the user interface, a likelihood of each of the label candidates. 
     
     
         11 . The information processing apparatus according to  claim 1 , wherein the control unit receives, on the user interface, a change of at least one of a start position and an end position of the first sensor data that is adopted as the learning data from the user. 
     
     
         12 . The information processing apparatus according to  claim 1 , wherein the control unit receives, on the user interface, editing operation on the second sensor data from the user, and generates new first sensor data on the basis of the editing operation. 
     
     
         13 . The information processing apparatus according to  claim 12 , wherein the control unit receives rotation operation on the second sensor data from the user, and generates new first sensor data for which a coordinate axis with respect to the first sensor data is rotated on the basis of the rotation operation. 
     
     
         14 . The information processing apparatus according to  claim 1 , wherein the first sensor data includes at least sensor data collected by a motion sensor. 
     
     
         15 . The information processing apparatus according to  claim 1 , further comprising:
 a label estimation unit that estimates the label candidate on the basis of the second sensor data.   
     
     
         16 . An information processing method comprising:
 controlling, by a processor, a user interface that allows a user to determine whether to adopt collected first sensor data as learning data for machine learning, wherein   the controlling includes
 presenting, on the user interface, the first sensor data, second sensor data that is collected together with the first sensor data, and a label candidate that is estimated from the second sensor data, and 
 receiving input related to determination on whether to adopt the first sensor data from the user. 
   
     
     
         17 . A program that causes a computer to function as an information processing apparatus that includes:
 a control unit that controls a user interface that allows a user to determine whether to adopt collected first sensor data as learning data for machine learning, wherein   the control unit presents, on the user interface, the first sensor data, second sensor data that is collected together with the first sensor data, and a label candidate that is estimated from the second sensor data, and receives input related to determination on whether to adopt the first sensor data from the user.